In this paper, we present a new method to evaluate congestion from traffic flow information based on fuzzy logic. Level of congestion is considered as a continuous variable from free flow to traffic jam. After a simulation, we used adaptive neuro-fuzzy inference system and trained a series of fuzzy logic rules, to estimate the congestion. As a result, general perception of judging congestion is recovered by the fuzzy system with basic traffic parameters.
Congestion evaluation from traffic flow information based on fuzzy logic
01.01.2003
209513 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Congestion Evaluation from Traffic Flow Information Based on Fuzzy Logic
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